Smart Ticket Machine: STM

Abstract

In the transportation sector, Smart Ticket Machines (STMs) have arisen as automated ticketing options that provide ease and effectiveness for both users and operators. The research articles on smart ticket machines analysed in this review of the literature are synthesised, including topics like user acceptability, implementation case studies, technology, security, accessibility, data analytics, and interaction with mobile apps and the Internet of Things (IoT). The review emphasises how STMs improve transportation networks' operational effectiveness, passenger satisfaction, and sustainability. User acceptability and satisfaction, with an emphasis on usability, dependability, and a variety of payment choices, are critical variables determining the success of STMs. Implementation case studies show increases in ticketing effectiveness, shorter lines, better revenue collection, and satisfied customers. To ensure dependable and safe ticketing operations, technological factors, including hardware, software, and security measures, have undergone considerable investigation. Usability and adherence to accessibility standards are prioritised with an emphasis on catering to a variety of user groups. Optimised resource allocation, real-time information updates, and individualised services are made possible through data analytics and interaction with mobile applications and IoT. However, there are drawbacks, including a lack of generalizability, data privacy issues, maintenance and expense concerns, and hurdles to user adoption. Enhanced personalization and customization capabilities, advanced analytics and predictive modelling, seamless integration with smart city initiatives, user-centered design and accessibility improvements, sustainability considerations, and further integration with mobility platforms are some of the future research directions. The functionality, usability, and integration of smart ticket machines in transportation systems will develop by addressing these limits and pursuing future directions, encouraging effective, user-friendly, and sustainable ticketing solutions. For academics, practitioners, and stakeholders engaged in the design, deployment, and development of Smart Ticket Machines, the findings of this literature study offer invaluable insights.